Triple
T14010571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nupoid |
E337065
|
entity |
| Predicate | hasCoreLanguage |
P7390
|
FINISHED |
| Object | Gbagyi language |
E1026245
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gbagyi language | Statement: [Nupoid, hasCoreLanguage, Gbagyi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gbagyi language Context triple: [Nupoid, hasCoreLanguage, Gbagyi language]
-
A.
Gbagyi language
chosen
Gbagyi language is a Central Nigerian language spoken predominantly by the Gbagyi (Gwari) people across parts of Nigeria’s Middle Belt region.
-
B.
Nyagbo language
The Nyagbo language is a Niger-Congo language spoken by the Nyagbo people in the Volta Region of Ghana, closely related to other Ghana–Togo Mountain languages.
-
C.
Banda-Gbi language
The Banda-Gbi language is a Central Sudanic language spoken by the Banda people of the Central African Republic and surrounding regions.
-
D.
Akweya language
Akweya language is a Niger-Congo language spoken by the Akweya people of central Nigeria and classified within the Idomoid branch.
-
E.
Dagbani language
Dagbani is a major Gur language of northern Ghana, spoken primarily by the Dagomba people and used widely in education, media, and regional communication.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324133f8819088c0d80a4e8fb5be |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 9, 2026, 10:19 p.m.